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A Case Study and Guide for Sport Data Analytics: Using Python and Yahoo! Finance Data to Run Practical Analyses in the Sport Management Classroom.

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Title: A Case Study and Guide for Sport Data Analytics: Using Python and Yahoo! Finance Data to Run Practical Analyses in the Sport Management Classroom.
Authors: Damon, Zack J.1 (AUTHOR) zdamon@ttu.edu, Ellis, Michael E.2 (AUTHOR)
Source: Sport Management Education Journal (Human Kinetics). Apr2025, Vol. 19 Issue 1, p46-53. 8p.
Subject Terms: *Classroom management, Web analytics, Sports administration, Data analytics, Sports business
Abstract: Sport analytics remains a growing area in the sport industry. As such, the demand for skills and knowledge in this area has grown. This demand includes off-field data, such as marketing trends, as well as financial data related to sport organizations. There has been a trickle-down effect in sport management (and other) education programs to teach about analytics to better prepare students for these positions. The current case study will help instructors teach students analytics skills related to data exploration and analysis through Python, a common analytics and coding program. The case study presents an overview of the importance of sport analytics in the industry. We then present the code to be used in teaching a class related to scraping financial data from Yahoo!Finance and provide sample analyses with related code for assignments. [ABSTRACT FROM AUTHOR]
Copyright of Sport Management Education Journal (Human Kinetics) is the property of Human Kinetics Publishers, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: A Case Study and Guide for Sport Data Analytics: Using Python and Yahoo! Finance Data to Run Practical Analyses in the Sport Management Classroom.
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  Data: <searchLink fieldCode="JN" term="%22Sport+Management+Education+Journal+%28Human+Kinetics%29%22">Sport Management Education Journal (Human Kinetics)</searchLink>. Apr2025, Vol. 19 Issue 1, p46-53. 8p.
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  Data: *<searchLink fieldCode="DE" term="%22Classroom+management%22">Classroom management</searchLink><br /><searchLink fieldCode="DE" term="%22Web+analytics%22">Web analytics</searchLink><br /><searchLink fieldCode="DE" term="%22Sports+administration%22">Sports administration</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analytics%22">Data analytics</searchLink><br /><searchLink fieldCode="DE" term="%22Sports+business%22">Sports business</searchLink>
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  Data: Sport analytics remains a growing area in the sport industry. As such, the demand for skills and knowledge in this area has grown. This demand includes off-field data, such as marketing trends, as well as financial data related to sport organizations. There has been a trickle-down effect in sport management (and other) education programs to teach about analytics to better prepare students for these positions. The current case study will help instructors teach students analytics skills related to data exploration and analysis through Python, a common analytics and coding program. The case study presents an overview of the importance of sport analytics in the industry. We then present the code to be used in teaching a class related to scraping financial data from Yahoo!Finance and provide sample analyses with related code for assignments. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Sport Management Education Journal (Human Kinetics) is the property of Human Kinetics Publishers, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Text: English
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      – SubjectFull: Sports administration
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